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<i>GLI1</i>-Rearranged Enteric Tumors: Updates on Clinicopathologic and Molecular Genetics Features
Published 2025-01-01Get full text
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Rolling Element Bearing Fault Recognition Approach Based on Fuzzy Clustering Bispectrum Estimation
Published 2013-01-01Get full text
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868
COMPLEX EVALUATION OF WORKING CONDITIONS IN GALVANIC WORKSHOPS
Published 2013-08-01Get full text
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869
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870
The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data
Published 2023-12-01Get full text
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871
Bot Canker of Oak in Florida Caused by Diplodia corticola and D. quercivora
Published 2015-06-01“… This 6-page fact sheet describes the emergence of these two pathogens of oak and grapevine in North America and Florida; the signs and symptoms of infection; mechanism of host disease and death; fungal morphology; origin, host range, and classification; and management options. …”
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872
Comparison of 1D and 3D volume measurement techniques in NF2-associated vestibular schwannoma monitoring
Published 2025-01-01“…VS were clinically followed every 6 months with cranial, thin-sliced (< 3 mm) MRI. …”
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Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study
Published 2025-01-01Get full text
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875
Quick Determination of Soil Quality Using Portable Spectroscopy and Efficient Multivariate Techniques
Published 2023-01-01Get full text
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876
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877
Short-term endoscopic alterations of early gastric cancer after successful eradication of Helicobacter pylori
Published 2025-02-01“…All the confidence level of DL (High confidence: 15.6% vs. 93.3%, p value = 0.000) and invasion depth (High confidence: 37.8% vs. 80.0%, p value = 0.000) and histopathological classification (High confidence: 31.1% vs. 91.1%, p value = 0.000) were significantly improved after eradication. …”
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Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes
Published 2023-08-01“…The experimental results show that the application of ensemble learning with the Decision Tree (DT), K-Nearest Neighbor (KNN), and Random Forest (RF) classification algorithms provides better model performance compared to using a single classification algorithm, with an accuracy of 95.2%, a precision value of 93.2%, a F1-score of 92.4%, and a True Negative Rate (TNR) of 97.6%. …”
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Bumelia Webworm Urodus parvula (Edwards 1881) (Insecta: Lepidoptera: Urodidae)
Published 2018-11-01Get full text
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